RaGraph has several Graph ready to use datasets built-in. These datasets
serve as an excellent starting point when designing and testing your analysis scripts. The basic
method of retrieval of the ragraph.datasets module are discussed, which
includes ways to obtain more background information on each of them.
So that's a merry band of different datasets, with names that might leave you wondering. Luckily,
all datasets come with some info for you. That info is retrievable from the
ragraph.datasets sub-module descriptions, as well as by calling the
ragraph.datasets.info method:
fromragraphimportdatasetsprint(datasets.info("aircraft_engine"))"""# Pratt & Whitney Aircraft EngineA directed graph describing the Pratt & Whitney PW4098 commercial high bypass-ratio turbofan engine.The graph describes a combination of the actual hardware dependencies of the engine and those of thedevelopment teams involved with them. It is a weighted and directed graph featuring 60 elements,four of which are sometimes left out as they represent the integration teams and no individualhardware components. Weak and strong dependencies are distinguished using weights of 1 and 2,respectively.Reference: Rowles, C. M. (1999). System integration analysis of a large commercial aircraft engine."""